{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-07-27T07:48:03.621731Z",
     "start_time": "2024-07-27T07:48:01.985698Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import random\n",
    "import os\n",
    "import torch\n",
    "import matplotlib.pyplot as plt\n",
    "import torchvision as tv\n",
    "import torch.nn as nn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_compare(loss_history):\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    for model_name, losses in loss_history[\"Train Loss\"].items():\n",
    "        plt.plot(losses, label=model_name)\n",
    "    plt.title(\"Train Loss\")\n",
    "    plt.xlabel(\"Epoch\")\n",
    "    plt.ylabel(\"Loss\")\n",
    "    plt.legend()\n",
    "    plt.grid(True)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    for model_name, losses in loss_history[\"Test Loss\"].items():\n",
    "        plt.plot(losses, label=model_name)\n",
    "    plt.title(\"Test Loss\")\n",
    "    plt.xlabel(\"Epoch\")\n",
    "    plt.ylabel(\"Loss\")\n",
    "    plt.legend()\n",
    "    plt.grid(True)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    for model_name, accs in loss_history[\"Test Acc\"].items():\n",
    "        plt.plot(accs, label=model_name)\n",
    "    plt.title(\"Test Acc\")\n",
    "    plt.xlabel(\"Epoch)\")\n",
    "    plt.ylabel(\"Accuracy\")\n",
    "    plt.legend()\n",
    "    plt.grid(True)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "# 搭建数据集\n",
    "train_data = tv.datasets.MNIST(\n",
    "    root=\"./mnist_dataset\",\n",
    "    train=True,\n",
    "    download=True,\n",
    "    transform=tv.transforms.ToTensor(),\n",
    ")\n",
    "test_data = tv.datasets.MNIST(\n",
    "    root=\"./mnist_dataset\",\n",
    "    train=False,\n",
    "    download=True,\n",
    "    transform=tv.transforms.ToTensor(),\n",
    ")\n",
    "batch_size = 64\n",
    "train_iter = torch.utils.data.DataLoader(\n",
    "    dataset=train_data, shuffle=True, batch_size=batch_size, num_workers=0\n",
    ")\n",
    "test_iter = torch.utils.data.DataLoader(\n",
    "    dataset=test_data, shuffle=False, batch_size=batch_size, num_workers=0\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## torch.nn实现dropout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "nets = {}\n",
    "for drop_prob in [0.2, 0.3, 0.5, 0.7, 0.8, 0.9]:\n",
    "    nets[f\"dropout{drop_prob}\"] = torch.nn.Sequential(\n",
    "        nn.Flatten(),\n",
    "        nn.Linear(784, 256),\n",
    "        nn.ReLU(),\n",
    "        nn.Dropout(drop_prob),\n",
    "        nn.Linear(256, 10),\n",
    "    ).to(device)\n",
    "    \n",
    "loss_function = nn.CrossEntropyLoss()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch [1/30], 模型: dropout0.2, 训练损失: 0.0194, 测试损失: 0.0096, 测试准确率: 0.8505\n",
      "Epoch [2/30], 模型: dropout0.2, 训练损失: 0.0082, 测试损失: 0.0068, 测试准确率: 0.8819\n",
      "Epoch [3/30], 模型: dropout0.2, 训练损失: 0.0066, 测试损失: 0.0059, 测试准确率: 0.8929\n",
      "Epoch [4/30], 模型: dropout0.2, 训练损失: 0.0059, 测试损失: 0.0054, 测试准确率: 0.9038\n",
      "Epoch [5/30], 模型: dropout0.2, 训练损失: 0.0054, 测试损失: 0.0050, 测试准确率: 0.9103\n",
      "Epoch [6/30], 模型: dropout0.2, 训练损失: 0.0051, 测试损失: 0.0048, 测试准确率: 0.9145\n",
      "Epoch [7/30], 模型: dropout0.2, 训练损失: 0.0048, 测试损失: 0.0045, 测试准确率: 0.9194\n",
      "Epoch [8/30], 模型: dropout0.2, 训练损失: 0.0046, 测试损失: 0.0044, 测试准确率: 0.9185\n",
      "Epoch [9/30], 模型: dropout0.2, 训练损失: 0.0044, 测试损失: 0.0042, 测试准确率: 0.9222\n",
      "Epoch [10/30], 模型: dropout0.2, 训练损失: 0.0042, 测试损失: 0.0040, 测试准确率: 0.9290\n",
      "Epoch [11/30], 模型: dropout0.2, 训练损失: 0.0040, 测试损失: 0.0038, 测试准确率: 0.9307\n",
      "Epoch [12/30], 模型: dropout0.2, 训练损失: 0.0038, 测试损失: 0.0037, 测试准确率: 0.9306\n",
      "Epoch [13/30], 模型: dropout0.2, 训练损失: 0.0037, 测试损失: 0.0035, 测试准确率: 0.9361\n",
      "Epoch [14/30], 模型: dropout0.2, 训练损失: 0.0036, 测试损失: 0.0034, 测试准确率: 0.9383\n",
      "Epoch [15/30], 模型: dropout0.2, 训练损失: 0.0034, 测试损失: 0.0033, 测试准确率: 0.9404\n",
      "Epoch [16/30], 模型: dropout0.2, 训练损失: 0.0033, 测试损失: 0.0032, 测试准确率: 0.9443\n",
      "Epoch [17/30], 模型: dropout0.2, 训练损失: 0.0032, 测试损失: 0.0031, 测试准确率: 0.9421\n",
      "Epoch [18/30], 模型: dropout0.2, 训练损失: 0.0031, 测试损失: 0.0030, 测试准确率: 0.9447\n",
      "Epoch [19/30], 模型: dropout0.2, 训练损失: 0.0030, 测试损失: 0.0029, 测试准确率: 0.9471\n",
      "Epoch [20/30], 模型: dropout0.2, 训练损失: 0.0029, 测试损失: 0.0028, 测试准确率: 0.9485\n",
      "Epoch [21/30], 模型: dropout0.2, 训练损失: 0.0028, 测试损失: 0.0028, 测试准确率: 0.9484\n",
      "Epoch [22/30], 模型: dropout0.2, 训练损失: 0.0028, 测试损失: 0.0027, 测试准确率: 0.9495\n",
      "Epoch [23/30], 模型: dropout0.2, 训练损失: 0.0027, 测试损失: 0.0026, 测试准确率: 0.9522\n",
      "Epoch [24/30], 模型: dropout0.2, 训练损失: 0.0026, 测试损失: 0.0026, 测试准确率: 0.9545\n",
      "Epoch [25/30], 模型: dropout0.2, 训练损失: 0.0026, 测试损失: 0.0025, 测试准确率: 0.9537\n",
      "Epoch [26/30], 模型: dropout0.2, 训练损失: 0.0025, 测试损失: 0.0024, 测试准确率: 0.9543\n",
      "Epoch [27/30], 模型: dropout0.2, 训练损失: 0.0024, 测试损失: 0.0024, 测试准确率: 0.9556\n",
      "Epoch [28/30], 模型: dropout0.2, 训练损失: 0.0024, 测试损失: 0.0024, 测试准确率: 0.9557\n",
      "Epoch [29/30], 模型: dropout0.2, 训练损失: 0.0023, 测试损失: 0.0023, 测试准确率: 0.9564\n",
      "Epoch [30/30], 模型: dropout0.2, 训练损失: 0.0023, 测试损失: 0.0023, 测试准确率: 0.9563\n",
      "Epoch [1/30], 模型: dropout0.3, 训练损失: 0.0196, 测试损失: 0.0099, 测试准确率: 0.8426\n",
      "Epoch [2/30], 模型: dropout0.3, 训练损失: 0.0085, 测试损失: 0.0071, 测试准确率: 0.8761\n",
      "Epoch [3/30], 模型: dropout0.3, 训练损失: 0.0068, 测试损失: 0.0061, 测试准确率: 0.8912\n",
      "Epoch [4/30], 模型: dropout0.3, 训练损失: 0.0061, 测试损失: 0.0056, 测试准确率: 0.8984\n",
      "Epoch [5/30], 模型: dropout0.3, 训练损失: 0.0056, 测试损失: 0.0052, 测试准确率: 0.9061\n",
      "Epoch [6/30], 模型: dropout0.3, 训练损失: 0.0053, 测试损失: 0.0049, 测试准确率: 0.9074\n",
      "Epoch [7/30], 模型: dropout0.3, 训练损失: 0.0049, 测试损失: 0.0047, 测试准确率: 0.9157\n",
      "Epoch [8/30], 模型: dropout0.3, 训练损失: 0.0047, 测试损失: 0.0044, 测试准确率: 0.9211\n",
      "Epoch [9/30], 模型: dropout0.3, 训练损失: 0.0044, 测试损失: 0.0042, 测试准确率: 0.9237\n",
      "Epoch [10/30], 模型: dropout0.3, 训练损失: 0.0043, 测试损失: 0.0041, 测试准确率: 0.9245\n",
      "Epoch [11/30], 模型: dropout0.3, 训练损失: 0.0041, 测试损失: 0.0039, 测试准确率: 0.9289\n",
      "Epoch [12/30], 模型: dropout0.3, 训练损失: 0.0039, 测试损失: 0.0037, 测试准确率: 0.9317\n",
      "Epoch [13/30], 模型: dropout0.3, 训练损失: 0.0038, 测试损失: 0.0037, 测试准确率: 0.9317\n",
      "Epoch [14/30], 模型: dropout0.3, 训练损失: 0.0037, 测试损失: 0.0035, 测试准确率: 0.9368\n",
      "Epoch [15/30], 模型: dropout0.3, 训练损失: 0.0035, 测试损失: 0.0033, 测试准确率: 0.9381\n",
      "Epoch [16/30], 模型: dropout0.3, 训练损失: 0.0034, 测试损失: 0.0033, 测试准确率: 0.9390\n",
      "Epoch [17/30], 模型: dropout0.3, 训练损失: 0.0033, 测试损失: 0.0032, 测试准确率: 0.9405\n",
      "Epoch [18/30], 模型: dropout0.3, 训练损失: 0.0032, 测试损失: 0.0031, 测试准确率: 0.9421\n",
      "Epoch [19/30], 模型: dropout0.3, 训练损失: 0.0031, 测试损失: 0.0030, 测试准确率: 0.9437\n",
      "Epoch [20/30], 模型: dropout0.3, 训练损失: 0.0030, 测试损失: 0.0029, 测试准确率: 0.9447\n",
      "Epoch [21/30], 模型: dropout0.3, 训练损失: 0.0030, 测试损失: 0.0029, 测试准确率: 0.9466\n",
      "Epoch [22/30], 模型: dropout0.3, 训练损失: 0.0028, 测试损失: 0.0028, 测试准确率: 0.9472\n",
      "Epoch [23/30], 模型: dropout0.3, 训练损失: 0.0028, 测试损失: 0.0027, 测试准确率: 0.9491\n",
      "Epoch [24/30], 模型: dropout0.3, 训练损失: 0.0027, 测试损失: 0.0027, 测试准确率: 0.9496\n",
      "Epoch [25/30], 模型: dropout0.3, 训练损失: 0.0027, 测试损失: 0.0027, 测试准确率: 0.9499\n",
      "Epoch [26/30], 模型: dropout0.3, 训练损失: 0.0026, 测试损失: 0.0026, 测试准确率: 0.9508\n",
      "Epoch [27/30], 模型: dropout0.3, 训练损失: 0.0025, 测试损失: 0.0025, 测试准确率: 0.9547\n",
      "Epoch [28/30], 模型: dropout0.3, 训练损失: 0.0025, 测试损失: 0.0025, 测试准确率: 0.9548\n",
      "Epoch [29/30], 模型: dropout0.3, 训练损失: 0.0024, 测试损失: 0.0024, 测试准确率: 0.9547\n",
      "Epoch [30/30], 模型: dropout0.3, 训练损失: 0.0024, 测试损失: 0.0024, 测试准确率: 0.9543\n",
      "Epoch [1/30], 模型: dropout0.5, 训练损失: 0.0200, 测试损失: 0.0106, 测试准确率: 0.8231\n",
      "Epoch [2/30], 模型: dropout0.5, 训练损失: 0.0091, 测试损失: 0.0076, 测试准确率: 0.8636\n",
      "Epoch [3/30], 模型: dropout0.5, 训练损失: 0.0073, 测试损失: 0.0066, 测试准确率: 0.8839\n",
      "Epoch [4/30], 模型: dropout0.5, 训练损失: 0.0065, 测试损失: 0.0060, 测试准确率: 0.8887\n",
      "Epoch [5/30], 模型: dropout0.5, 训练损失: 0.0059, 测试损失: 0.0056, 测试准确率: 0.9011\n",
      "Epoch [6/30], 模型: dropout0.5, 训练损失: 0.0055, 测试损失: 0.0052, 测试准确率: 0.9055\n",
      "Epoch [7/30], 模型: dropout0.5, 训练损失: 0.0052, 测试损失: 0.0049, 测试准确率: 0.9109\n",
      "Epoch [8/30], 模型: dropout0.5, 训练损失: 0.0050, 测试损失: 0.0047, 测试准确率: 0.9147\n",
      "Epoch [9/30], 模型: dropout0.5, 训练损失: 0.0047, 测试损失: 0.0045, 测试准确率: 0.9162\n",
      "Epoch [10/30], 模型: dropout0.5, 训练损失: 0.0045, 测试损失: 0.0043, 测试准确率: 0.9206\n",
      "Epoch [11/30], 模型: dropout0.5, 训练损失: 0.0043, 测试损失: 0.0042, 测试准确率: 0.9215\n",
      "Epoch [12/30], 模型: dropout0.5, 训练损失: 0.0042, 测试损失: 0.0040, 测试准确率: 0.9265\n",
      "Epoch [13/30], 模型: dropout0.5, 训练损失: 0.0040, 测试损失: 0.0038, 测试准确率: 0.9288\n",
      "Epoch [14/30], 模型: dropout0.5, 训练损失: 0.0039, 测试损失: 0.0038, 测试准确率: 0.9308\n",
      "Epoch [15/30], 模型: dropout0.5, 训练损失: 0.0038, 测试损失: 0.0037, 测试准确率: 0.9315\n",
      "Epoch [16/30], 模型: dropout0.5, 训练损失: 0.0037, 测试损失: 0.0035, 测试准确率: 0.9356\n",
      "Epoch [17/30], 模型: dropout0.5, 训练损失: 0.0036, 测试损失: 0.0034, 测试准确率: 0.9362\n",
      "Epoch [18/30], 模型: dropout0.5, 训练损失: 0.0035, 测试损失: 0.0034, 测试准确率: 0.9397\n",
      "Epoch [19/30], 模型: dropout0.5, 训练损失: 0.0034, 测试损失: 0.0033, 测试准确率: 0.9389\n",
      "Epoch [20/30], 模型: dropout0.5, 训练损失: 0.0033, 测试损失: 0.0032, 测试准确率: 0.9410\n",
      "Epoch [21/30], 模型: dropout0.5, 训练损失: 0.0032, 测试损失: 0.0031, 测试准确率: 0.9427\n",
      "Epoch [22/30], 模型: dropout0.5, 训练损失: 0.0031, 测试损失: 0.0030, 测试准确率: 0.9427\n",
      "Epoch [23/30], 模型: dropout0.5, 训练损失: 0.0031, 测试损失: 0.0030, 测试准确率: 0.9451\n",
      "Epoch [24/30], 模型: dropout0.5, 训练损失: 0.0030, 测试损失: 0.0029, 测试准确率: 0.9471\n",
      "Epoch [25/30], 模型: dropout0.5, 训练损失: 0.0029, 测试损失: 0.0028, 测试准确率: 0.9482\n",
      "Epoch [26/30], 模型: dropout0.5, 训练损失: 0.0029, 测试损失: 0.0029, 测试准确率: 0.9468\n",
      "Epoch [27/30], 模型: dropout0.5, 训练损失: 0.0028, 测试损失: 0.0028, 测试准确率: 0.9441\n",
      "Epoch [28/30], 模型: dropout0.5, 训练损失: 0.0028, 测试损失: 0.0028, 测试准确率: 0.9493\n",
      "Epoch [29/30], 模型: dropout0.5, 训练损失: 0.0027, 测试损失: 0.0027, 测试准确率: 0.9499\n",
      "Epoch [30/30], 模型: dropout0.5, 训练损失: 0.0027, 测试损失: 0.0027, 测试准确率: 0.9497\n",
      "Epoch [1/30], 模型: dropout0.7, 训练损失: 0.0215, 测试损失: 0.0124, 测试准确率: 0.7772\n",
      "Epoch [2/30], 模型: dropout0.7, 训练损失: 0.0107, 测试损失: 0.0090, 测试准确率: 0.8347\n",
      "Epoch [3/30], 模型: dropout0.7, 训练损失: 0.0085, 测试损失: 0.0076, 测试准确率: 0.8635\n",
      "Epoch [4/30], 模型: dropout0.7, 训练损失: 0.0074, 测试损失: 0.0068, 测试准确率: 0.8751\n",
      "Epoch [5/30], 模型: dropout0.7, 训练损失: 0.0068, 测试损失: 0.0064, 测试准确率: 0.8858\n",
      "Epoch [6/30], 模型: dropout0.7, 训练损失: 0.0063, 测试损失: 0.0060, 测试准确率: 0.8913\n",
      "Epoch [7/30], 模型: dropout0.7, 训练损失: 0.0060, 测试损失: 0.0057, 测试准确率: 0.8971\n",
      "Epoch [8/30], 模型: dropout0.7, 训练损失: 0.0056, 测试损失: 0.0055, 测试准确率: 0.9011\n",
      "Epoch [9/30], 模型: dropout0.7, 训练损失: 0.0054, 测试损失: 0.0052, 测试准确率: 0.9039\n",
      "Epoch [10/30], 模型: dropout0.7, 训练损失: 0.0052, 测试损失: 0.0049, 测试准确率: 0.9109\n",
      "Epoch [11/30], 模型: dropout0.7, 训练损失: 0.0050, 测试损失: 0.0047, 测试准确率: 0.9149\n",
      "Epoch [12/30], 模型: dropout0.7, 训练损失: 0.0049, 测试损失: 0.0046, 测试准确率: 0.9155\n",
      "Epoch [13/30], 模型: dropout0.7, 训练损失: 0.0047, 测试损失: 0.0046, 测试准确率: 0.9171\n",
      "Epoch [14/30], 模型: dropout0.7, 训练损失: 0.0045, 测试损失: 0.0044, 测试准确率: 0.9201\n",
      "Epoch [15/30], 模型: dropout0.7, 训练损失: 0.0044, 测试损失: 0.0043, 测试准确率: 0.9243\n",
      "Epoch [16/30], 模型: dropout0.7, 训练损失: 0.0044, 测试损失: 0.0042, 测试准确率: 0.9221\n",
      "Epoch [17/30], 模型: dropout0.7, 训练损失: 0.0042, 测试损失: 0.0041, 测试准确率: 0.9237\n",
      "Epoch [18/30], 模型: dropout0.7, 训练损失: 0.0041, 测试损失: 0.0040, 测试准确率: 0.9267\n",
      "Epoch [19/30], 模型: dropout0.7, 训练损失: 0.0040, 测试损失: 0.0040, 测试准确率: 0.9261\n",
      "Epoch [20/30], 模型: dropout0.7, 训练损失: 0.0040, 测试损失: 0.0039, 测试准确率: 0.9282\n",
      "Epoch [21/30], 模型: dropout0.7, 训练损失: 0.0039, 测试损失: 0.0038, 测试准确率: 0.9290\n",
      "Epoch [22/30], 模型: dropout0.7, 训练损失: 0.0038, 测试损失: 0.0038, 测试准确率: 0.9309\n",
      "Epoch [23/30], 模型: dropout0.7, 训练损失: 0.0037, 测试损失: 0.0037, 测试准确率: 0.9314\n",
      "Epoch [24/30], 模型: dropout0.7, 训练损失: 0.0037, 测试损失: 0.0036, 测试准确率: 0.9362\n",
      "Epoch [25/30], 模型: dropout0.7, 训练损失: 0.0037, 测试损失: 0.0037, 测试准确率: 0.9335\n",
      "Epoch [26/30], 模型: dropout0.7, 训练损失: 0.0036, 测试损失: 0.0035, 测试准确率: 0.9368\n",
      "Epoch [27/30], 模型: dropout0.7, 训练损失: 0.0035, 测试损失: 0.0034, 测试准确率: 0.9369\n",
      "Epoch [28/30], 模型: dropout0.7, 训练损失: 0.0035, 测试损失: 0.0034, 测试准确率: 0.9358\n",
      "Epoch [29/30], 模型: dropout0.7, 训练损失: 0.0034, 测试损失: 0.0034, 测试准确率: 0.9373\n",
      "Epoch [30/30], 模型: dropout0.7, 训练损失: 0.0034, 测试损失: 0.0034, 测试准确率: 0.9373\n",
      "Epoch [1/30], 模型: dropout0.8, 训练损失: 0.0221, 测试损失: 0.0137, 测试准确率: 0.7487\n",
      "Epoch [2/30], 模型: dropout0.8, 训练损失: 0.0118, 测试损失: 0.0101, 测试准确率: 0.8126\n",
      "Epoch [3/30], 模型: dropout0.8, 训练损失: 0.0095, 测试损失: 0.0086, 测试准确率: 0.8403\n",
      "Epoch [4/30], 模型: dropout0.8, 训练损失: 0.0084, 测试损失: 0.0077, 测试准确率: 0.8637\n",
      "Epoch [5/30], 模型: dropout0.8, 训练损失: 0.0077, 测试损失: 0.0072, 测试准确率: 0.8689\n",
      "Epoch [6/30], 模型: dropout0.8, 训练损失: 0.0072, 测试损失: 0.0067, 测试准确率: 0.8774\n",
      "Epoch [7/30], 模型: dropout0.8, 训练损失: 0.0067, 测试损失: 0.0065, 测试准确率: 0.8840\n",
      "Epoch [8/30], 模型: dropout0.8, 训练损失: 0.0065, 测试损失: 0.0061, 测试准确率: 0.8904\n",
      "Epoch [9/30], 模型: dropout0.8, 训练损失: 0.0062, 测试损失: 0.0059, 测试准确率: 0.8912\n",
      "Epoch [10/30], 模型: dropout0.8, 训练损失: 0.0060, 测试损失: 0.0058, 测试准确率: 0.8947\n",
      "Epoch [11/30], 模型: dropout0.8, 训练损失: 0.0058, 测试损失: 0.0055, 测试准确率: 0.8958\n",
      "Epoch [12/30], 模型: dropout0.8, 训练损失: 0.0056, 测试损失: 0.0055, 测试准确率: 0.8993\n",
      "Epoch [13/30], 模型: dropout0.8, 训练损失: 0.0055, 测试损失: 0.0053, 测试准确率: 0.9046\n",
      "Epoch [14/30], 模型: dropout0.8, 训练损失: 0.0054, 测试损失: 0.0052, 测试准确率: 0.9074\n",
      "Epoch [15/30], 模型: dropout0.8, 训练损失: 0.0052, 测试损失: 0.0050, 测试准确率: 0.9087\n",
      "Epoch [16/30], 模型: dropout0.8, 训练损失: 0.0051, 测试损失: 0.0050, 测试准确率: 0.9089\n",
      "Epoch [17/30], 模型: dropout0.8, 训练损失: 0.0050, 测试损失: 0.0049, 测试准确率: 0.9105\n",
      "Epoch [18/30], 模型: dropout0.8, 训练损失: 0.0049, 测试损失: 0.0048, 测试准确率: 0.9139\n",
      "Epoch [19/30], 模型: dropout0.8, 训练损失: 0.0048, 测试损失: 0.0048, 测试准确率: 0.9148\n",
      "Epoch [20/30], 模型: dropout0.8, 训练损失: 0.0048, 测试损失: 0.0046, 测试准确率: 0.9171\n",
      "Epoch [21/30], 模型: dropout0.8, 训练损失: 0.0047, 测试损失: 0.0046, 测试准确率: 0.9139\n",
      "Epoch [22/30], 模型: dropout0.8, 训练损失: 0.0046, 测试损失: 0.0047, 测试准确率: 0.9177\n",
      "Epoch [23/30], 模型: dropout0.8, 训练损失: 0.0046, 测试损失: 0.0045, 测试准确率: 0.9169\n",
      "Epoch [24/30], 模型: dropout0.8, 训练损失: 0.0045, 测试损失: 0.0044, 测试准确率: 0.9212\n",
      "Epoch [25/30], 模型: dropout0.8, 训练损失: 0.0044, 测试损失: 0.0043, 测试准确率: 0.9208\n",
      "Epoch [26/30], 模型: dropout0.8, 训练损失: 0.0043, 测试损失: 0.0044, 测试准确率: 0.9210\n",
      "Epoch [27/30], 模型: dropout0.8, 训练损失: 0.0044, 测试损失: 0.0043, 测试准确率: 0.9234\n",
      "Epoch [28/30], 模型: dropout0.8, 训练损失: 0.0043, 测试损失: 0.0042, 测试准确率: 0.9219\n",
      "Epoch [29/30], 模型: dropout0.8, 训练损失: 0.0042, 测试损失: 0.0042, 测试准确率: 0.9229\n",
      "Epoch [30/30], 模型: dropout0.8, 训练损失: 0.0042, 测试损失: 0.0042, 测试准确率: 0.9257\n",
      "Epoch [1/30], 模型: dropout0.9, 训练损失: 0.0253, 测试损失: 0.0179, 测试准确率: 0.6431\n",
      "Epoch [2/30], 模型: dropout0.9, 训练损失: 0.0154, 测试损失: 0.0133, 测试准确率: 0.7347\n",
      "Epoch [3/30], 模型: dropout0.9, 训练损失: 0.0127, 测试损失: 0.0118, 测试准确率: 0.7752\n",
      "Epoch [4/30], 模型: dropout0.9, 训练损失: 0.0114, 测试损失: 0.0108, 测试准确率: 0.7940\n",
      "Epoch [5/30], 模型: dropout0.9, 训练损失: 0.0106, 测试损失: 0.0101, 测试准确率: 0.8082\n",
      "Epoch [6/30], 模型: dropout0.9, 训练损失: 0.0099, 测试损失: 0.0095, 测试准确率: 0.8166\n",
      "Epoch [7/30], 模型: dropout0.9, 训练损失: 0.0095, 测试损失: 0.0093, 测试准确率: 0.8243\n",
      "Epoch [8/30], 模型: dropout0.9, 训练损失: 0.0092, 测试损失: 0.0088, 测试准确率: 0.8300\n",
      "Epoch [9/30], 模型: dropout0.9, 训练损失: 0.0088, 测试损失: 0.0086, 测试准确率: 0.8330\n",
      "Epoch [10/30], 模型: dropout0.9, 训练损失: 0.0086, 测试损失: 0.0084, 测试准确率: 0.8399\n",
      "Epoch [11/30], 模型: dropout0.9, 训练损失: 0.0084, 测试损失: 0.0081, 测试准确率: 0.8429\n",
      "Epoch [12/30], 模型: dropout0.9, 训练损失: 0.0082, 测试损失: 0.0080, 测试准确率: 0.8483\n",
      "Epoch [13/30], 模型: dropout0.9, 训练损失: 0.0081, 测试损失: 0.0079, 测试准确率: 0.8454\n",
      "Epoch [14/30], 模型: dropout0.9, 训练损失: 0.0080, 测试损失: 0.0077, 测试准确率: 0.8469\n",
      "Epoch [15/30], 模型: dropout0.9, 训练损失: 0.0078, 测试损失: 0.0076, 测试准确率: 0.8530\n",
      "Epoch [16/30], 模型: dropout0.9, 训练损失: 0.0077, 测试损失: 0.0073, 测试准确率: 0.8617\n",
      "Epoch [17/30], 模型: dropout0.9, 训练损失: 0.0076, 测试损失: 0.0075, 测试准确率: 0.8523\n",
      "Epoch [18/30], 模型: dropout0.9, 训练损失: 0.0076, 测试损失: 0.0073, 测试准确率: 0.8589\n",
      "Epoch [19/30], 模型: dropout0.9, 训练损失: 0.0074, 测试损失: 0.0073, 测试准确率: 0.8607\n",
      "Epoch [20/30], 模型: dropout0.9, 训练损失: 0.0073, 测试损失: 0.0072, 测试准确率: 0.8622\n",
      "Epoch [21/30], 模型: dropout0.9, 训练损失: 0.0072, 测试损失: 0.0072, 测试准确率: 0.8606\n",
      "Epoch [22/30], 模型: dropout0.9, 训练损失: 0.0072, 测试损失: 0.0072, 测试准确率: 0.8625\n",
      "Epoch [23/30], 模型: dropout0.9, 训练损失: 0.0071, 测试损失: 0.0069, 测试准确率: 0.8636\n",
      "Epoch [24/30], 模型: dropout0.9, 训练损失: 0.0070, 测试损失: 0.0071, 测试准确率: 0.8622\n",
      "Epoch [25/30], 模型: dropout0.9, 训练损失: 0.0070, 测试损失: 0.0070, 测试准确率: 0.8634\n",
      "Epoch [26/30], 模型: dropout0.9, 训练损失: 0.0070, 测试损失: 0.0069, 测试准确率: 0.8668\n",
      "Epoch [27/30], 模型: dropout0.9, 训练损失: 0.0069, 测试损失: 0.0067, 测试准确率: 0.8678\n",
      "Epoch [28/30], 模型: dropout0.9, 训练损失: 0.0068, 测试损失: 0.0068, 测试准确率: 0.8713\n",
      "Epoch [29/30], 模型: dropout0.9, 训练损失: 0.0068, 测试损失: 0.0066, 测试准确率: 0.8741\n",
      "Epoch [30/30], 模型: dropout0.9, 训练损失: 0.0067, 测试损失: 0.0067, 测试准确率: 0.8695\n"
     ]
    }
   ],
   "source": [
    "loss_history = {\n",
    "    \"Train Loss\": {},\n",
    "    \"Test Loss\": {},\n",
    "    \"Test Acc\": {},\n",
    "}\n",
    "num_epoch = 30\n",
    "\n",
    "for name in nets:\n",
    "    loss_history[\"Train Loss\"][name] = []\n",
    "    loss_history[\"Test Loss\"][name] = []\n",
    "    loss_history[\"Test Acc\"][name] = []\n",
    "    for epoch in range(30):\n",
    "        net = nets[name]\n",
    "        optimizer = torch.optim.SGD(net.parameters(), lr=0.01)\n",
    "        train_loss_epoch, item_cnt =0, 0\n",
    "        for x, y in train_iter:\n",
    "            x, y = x.to(device), y.to(device)\n",
    "\n",
    "            pred = net(x)\n",
    "            los = loss_function(pred, y)\n",
    "            los.backward()\n",
    "            optimizer.step()\n",
    "            optimizer.zero_grad()\n",
    "            train_loss_epoch += los.item()\n",
    "            item_cnt += y.shape[0]\n",
    "            \n",
    "        train_loss_epoch /= item_cnt\n",
    "        loss_history[\"Train Loss\"][name].append(train_loss_epoch)\n",
    "        with torch.no_grad():\n",
    "            test_loss_epoch, test_acc_epoch , item_cnt = 0, 0, 0\n",
    "            for x, y in test_iter:\n",
    "                x, y = x.to(device), y.to(device)\n",
    "                pred = net(x)\n",
    "                los = loss_function(pred, y)\n",
    "                test_loss_epoch += los.item()\n",
    "                test_acc_epoch += (pred.argmax(dim=1).long() == y.long()).sum().item()\n",
    "                item_cnt += y.shape[0]\n",
    "                \n",
    "        test_loss_epoch /= item_cnt\n",
    "        loss_history[\"Test Loss\"][name].append(test_loss_epoch)\n",
    "        test_acc_epoch /= item_cnt\n",
    "        loss_history[\"Test Acc\"][name].append(test_acc_epoch)\n",
    "        print(\n",
    "            f\"Epoch [{epoch + 1}/{num_epoch}], 模型: {name}, 训练损失: {train_loss_epoch:.4f}, 测试损失: {test_loss_epoch:.4f}, 测试准确率: {test_acc_epoch:.4f}\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_compare(loss_history)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 手动实现Dropout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch import Tensor\n",
    "\n",
    "\n",
    "def dropout_function(x: Tensor, p=0.5, is_training=False):\n",
    "    if not is_training:\n",
    "        return x\n",
    "    prob = torch.rand_like(x)\n",
    "    # 小于p的丢弃\n",
    "    mask = (prob > p).float()\n",
    "    return x * mask / (1 - p)\n",
    "\n",
    "\n",
    "class MinistForwardNet(nn.Module):\n",
    "    def __init__(self, dropout_p: float):\n",
    "        super(MinistForwardNet, self).__init__()\n",
    "\n",
    "        self.w1 = torch.nn.Parameter(torch.randn(28 * 28, 256))\n",
    "        self.b1 = torch.nn.Parameter(torch.randn(256))\n",
    "        self.w2 = torch.nn.Parameter(torch.randn(256, 10))\n",
    "        self.b2 = torch.nn.Parameter(torch.randn(10))\n",
    "        self.dropout_p = dropout_p\n",
    "        torch.nn.init.xavier_normal_(self.w1)\n",
    "        torch.nn.init.constant_(self.b1, 0.1)\n",
    "        torch.nn.init.xavier_normal_(self.w2)\n",
    "        torch.nn.init.constant_(self.b2, 0.1)\n",
    "        self.params = [self.w1, self.b1, self.w2, self.b2]\n",
    "        # for param in self.params:\n",
    "        #     param = param.to(device) # 无效\n",
    "\n",
    "    def forward(self, x, is_training):\n",
    "        x = torch.relu(torch.matmul(x, self.w1) + self.b1)\n",
    "        x = dropout_function(x, p=self.dropout_p, is_training=is_training) \n",
    "        x = torch.matmul(x, self.w2) + self.b2\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch [1/30], 模型: dropout0.2, 训练损失: 0.0125, 测试损失: 0.0078, 测试准确率: 0.8627\n",
      "Epoch [2/30], 模型: dropout0.2, 训练损失: 0.0063, 测试损失: 0.0063, 测试准确率: 0.8845\n",
      "Epoch [3/30], 模型: dropout0.2, 训练损失: 0.0054, 测试损失: 0.0058, 测试准确率: 0.8906\n",
      "Epoch [4/30], 模型: dropout0.2, 训练损失: 0.0049, 测试损失: 0.0054, 测试准确率: 0.9002\n",
      "Epoch [5/30], 模型: dropout0.2, 训练损失: 0.0046, 测试损失: 0.0052, 测试准确率: 0.9034\n",
      "Epoch [6/30], 模型: dropout0.2, 训练损失: 0.0043, 测试损失: 0.0049, 测试准确率: 0.9075\n",
      "Epoch [7/30], 模型: dropout0.2, 训练损失: 0.0041, 测试损失: 0.0047, 测试准确率: 0.9110\n",
      "Epoch [8/30], 模型: dropout0.2, 训练损失: 0.0039, 测试损失: 0.0045, 测试准确率: 0.9142\n",
      "Epoch [9/30], 模型: dropout0.2, 训练损失: 0.0037, 测试损失: 0.0043, 测试准确率: 0.9180\n",
      "Epoch [10/30], 模型: dropout0.2, 训练损失: 0.0035, 测试损失: 0.0042, 测试准确率: 0.9191\n",
      "Epoch [11/30], 模型: dropout0.2, 训练损失: 0.0034, 测试损失: 0.0041, 测试准确率: 0.9222\n",
      "Epoch [12/30], 模型: dropout0.2, 训练损失: 0.0033, 测试损失: 0.0041, 测试准确率: 0.9234\n",
      "Epoch [13/30], 模型: dropout0.2, 训练损失: 0.0031, 测试损失: 0.0039, 测试准确率: 0.9284\n",
      "Epoch [14/30], 模型: dropout0.2, 训练损失: 0.0030, 测试损失: 0.0038, 测试准确率: 0.9266\n",
      "Epoch [15/30], 模型: dropout0.2, 训练损失: 0.0029, 测试损失: 0.0036, 测试准确率: 0.9332\n",
      "Epoch [16/30], 模型: dropout0.2, 训练损失: 0.0028, 测试损失: 0.0035, 测试准确率: 0.9320\n",
      "Epoch [17/30], 模型: dropout0.2, 训练损失: 0.0027, 测试损失: 0.0035, 测试准确率: 0.9348\n",
      "Epoch [18/30], 模型: dropout0.2, 训练损失: 0.0026, 测试损失: 0.0034, 测试准确率: 0.9328\n",
      "Epoch [19/30], 模型: dropout0.2, 训练损失: 0.0026, 测试损失: 0.0033, 测试准确率: 0.9375\n",
      "Epoch [20/30], 模型: dropout0.2, 训练损失: 0.0025, 测试损失: 0.0032, 测试准确率: 0.9393\n",
      "Epoch [21/30], 模型: dropout0.2, 训练损失: 0.0024, 测试损失: 0.0033, 测试准确率: 0.9369\n",
      "Epoch [22/30], 模型: dropout0.2, 训练损失: 0.0023, 测试损失: 0.0032, 测试准确率: 0.9403\n",
      "Epoch [23/30], 模型: dropout0.2, 训练损失: 0.0023, 测试损失: 0.0031, 测试准确率: 0.9411\n",
      "Epoch [24/30], 模型: dropout0.2, 训练损失: 0.0022, 测试损失: 0.0030, 测试准确率: 0.9401\n",
      "Epoch [25/30], 模型: dropout0.2, 训练损失: 0.0022, 测试损失: 0.0030, 测试准确率: 0.9409\n",
      "Epoch [26/30], 模型: dropout0.2, 训练损失: 0.0021, 测试损失: 0.0028, 测试准确率: 0.9464\n",
      "Epoch [27/30], 模型: dropout0.2, 训练损失: 0.0021, 测试损失: 0.0029, 测试准确率: 0.9436\n",
      "Epoch [28/30], 模型: dropout0.2, 训练损失: 0.0020, 测试损失: 0.0028, 测试准确率: 0.9473\n",
      "Epoch [29/30], 模型: dropout0.2, 训练损失: 0.0020, 测试损失: 0.0028, 测试准确率: 0.9466\n",
      "Epoch [30/30], 模型: dropout0.2, 训练损失: 0.0019, 测试损失: 0.0027, 测试准确率: 0.9454\n",
      "Epoch [1/30], 模型: dropout0.3, 训练损失: 0.0126, 测试损失: 0.0082, 测试准确率: 0.8462\n",
      "Epoch [2/30], 模型: dropout0.3, 训练损失: 0.0063, 测试损失: 0.0069, 测试准确率: 0.8681\n",
      "Epoch [3/30], 模型: dropout0.3, 训练损失: 0.0054, 测试损失: 0.0063, 测试准确率: 0.8797\n",
      "Epoch [4/30], 模型: dropout0.3, 训练损失: 0.0049, 测试损失: 0.0058, 测试准确率: 0.8882\n",
      "Epoch [5/30], 模型: dropout0.3, 训练损失: 0.0046, 测试损失: 0.0057, 测试准确率: 0.8926\n",
      "Epoch [6/30], 模型: dropout0.3, 训练损失: 0.0043, 测试损失: 0.0055, 测试准确率: 0.8911\n",
      "Epoch [7/30], 模型: dropout0.3, 训练损失: 0.0041, 测试损失: 0.0052, 测试准确率: 0.9036\n",
      "Epoch [8/30], 模型: dropout0.3, 训练损失: 0.0039, 测试损失: 0.0050, 测试准确率: 0.9022\n",
      "Epoch [9/30], 模型: dropout0.3, 训练损失: 0.0037, 测试损失: 0.0048, 测试准确率: 0.9088\n",
      "Epoch [10/30], 模型: dropout0.3, 训练损失: 0.0035, 测试损失: 0.0047, 测试准确率: 0.9086\n",
      "Epoch [11/30], 模型: dropout0.3, 训练损失: 0.0034, 测试损失: 0.0046, 测试准确率: 0.9126\n",
      "Epoch [12/30], 模型: dropout0.3, 训练损失: 0.0032, 测试损失: 0.0044, 测试准确率: 0.9133\n",
      "Epoch [13/30], 模型: dropout0.3, 训练损失: 0.0031, 测试损失: 0.0043, 测试准确率: 0.9156\n",
      "Epoch [14/30], 模型: dropout0.3, 训练损失: 0.0030, 测试损失: 0.0042, 测试准确率: 0.9186\n",
      "Epoch [15/30], 模型: dropout0.3, 训练损失: 0.0029, 测试损失: 0.0040, 测试准确率: 0.9199\n",
      "Epoch [16/30], 模型: dropout0.3, 训练损失: 0.0028, 测试损失: 0.0040, 测试准确率: 0.9233\n",
      "Epoch [17/30], 模型: dropout0.3, 训练损失: 0.0027, 测试损失: 0.0040, 测试准确率: 0.9221\n",
      "Epoch [18/30], 模型: dropout0.3, 训练损失: 0.0026, 测试损失: 0.0038, 测试准确率: 0.9274\n",
      "Epoch [19/30], 模型: dropout0.3, 训练损失: 0.0025, 测试损失: 0.0038, 测试准确率: 0.9268\n",
      "Epoch [20/30], 模型: dropout0.3, 训练损失: 0.0025, 测试损失: 0.0037, 测试准确率: 0.9256\n",
      "Epoch [21/30], 模型: dropout0.3, 训练损失: 0.0024, 测试损失: 0.0036, 测试准确率: 0.9277\n",
      "Epoch [22/30], 模型: dropout0.3, 训练损失: 0.0023, 测试损失: 0.0035, 测试准确率: 0.9294\n",
      "Epoch [23/30], 模型: dropout0.3, 训练损失: 0.0023, 测试损失: 0.0036, 测试准确率: 0.9289\n",
      "Epoch [24/30], 模型: dropout0.3, 训练损失: 0.0022, 测试损失: 0.0036, 测试准确率: 0.9290\n",
      "Epoch [25/30], 模型: dropout0.3, 训练损失: 0.0021, 测试损失: 0.0034, 测试准确率: 0.9347\n",
      "Epoch [26/30], 模型: dropout0.3, 训练损失: 0.0021, 测试损失: 0.0036, 测试准确率: 0.9305\n",
      "Epoch [27/30], 模型: dropout0.3, 训练损失: 0.0020, 测试损失: 0.0034, 测试准确率: 0.9351\n",
      "Epoch [28/30], 模型: dropout0.3, 训练损失: 0.0020, 测试损失: 0.0033, 测试准确率: 0.9374\n",
      "Epoch [29/30], 模型: dropout0.3, 训练损失: 0.0019, 测试损失: 0.0034, 测试准确率: 0.9319\n",
      "Epoch [30/30], 模型: dropout0.3, 训练损失: 0.0019, 测试损失: 0.0032, 测试准确率: 0.9351\n",
      "Epoch [1/30], 模型: dropout0.5, 训练损失: 0.0122, 测试损失: 0.0102, 测试准确率: 0.7901\n",
      "Epoch [2/30], 模型: dropout0.5, 训练损失: 0.0062, 测试损失: 0.0091, 测试准确率: 0.8139\n",
      "Epoch [3/30], 模型: dropout0.5, 训练损失: 0.0053, 测试损失: 0.0086, 测试准确率: 0.8264\n",
      "Epoch [4/30], 模型: dropout0.5, 训练损失: 0.0048, 测试损失: 0.0080, 测试准确率: 0.8416\n",
      "Epoch [5/30], 模型: dropout0.5, 训练损失: 0.0045, 测试损失: 0.0079, 测试准确率: 0.8396\n",
      "Epoch [6/30], 模型: dropout0.5, 训练损失: 0.0042, 测试损失: 0.0077, 测试准确率: 0.8450\n",
      "Epoch [7/30], 模型: dropout0.5, 训练损失: 0.0040, 测试损失: 0.0072, 测试准确率: 0.8541\n",
      "Epoch [8/30], 模型: dropout0.5, 训练损失: 0.0038, 测试损失: 0.0073, 测试准确率: 0.8530\n",
      "Epoch [9/30], 模型: dropout0.5, 训练损失: 0.0036, 测试损失: 0.0070, 测试准确率: 0.8548\n",
      "Epoch [10/30], 模型: dropout0.5, 训练损失: 0.0034, 测试损失: 0.0068, 测试准确率: 0.8663\n",
      "Epoch [11/30], 模型: dropout0.5, 训练损失: 0.0033, 测试损失: 0.0067, 测试准确率: 0.8651\n",
      "Epoch [12/30], 模型: dropout0.5, 训练损失: 0.0032, 测试损失: 0.0067, 测试准确率: 0.8674\n",
      "Epoch [13/30], 模型: dropout0.5, 训练损失: 0.0030, 测试损失: 0.0064, 测试准确率: 0.8705\n",
      "Epoch [14/30], 模型: dropout0.5, 训练损失: 0.0029, 测试损失: 0.0065, 测试准确率: 0.8686\n",
      "Epoch [15/30], 模型: dropout0.5, 训练损失: 0.0028, 测试损失: 0.0064, 测试准确率: 0.8713\n",
      "Epoch [16/30], 模型: dropout0.5, 训练损失: 0.0027, 测试损失: 0.0063, 测试准确率: 0.8713\n",
      "Epoch [17/30], 模型: dropout0.5, 训练损失: 0.0026, 测试损失: 0.0060, 测试准确率: 0.8772\n",
      "Epoch [18/30], 模型: dropout0.5, 训练损失: 0.0025, 测试损失: 0.0061, 测试准确率: 0.8733\n",
      "Epoch [19/30], 模型: dropout0.5, 训练损失: 0.0025, 测试损失: 0.0061, 测试准确率: 0.8782\n",
      "Epoch [20/30], 模型: dropout0.5, 训练损失: 0.0024, 测试损失: 0.0062, 测试准确率: 0.8759\n",
      "Epoch [21/30], 模型: dropout0.5, 训练损失: 0.0023, 测试损失: 0.0059, 测试准确率: 0.8791\n",
      "Epoch [22/30], 模型: dropout0.5, 训练损失: 0.0022, 测试损失: 0.0059, 测试准确率: 0.8779\n",
      "Epoch [23/30], 模型: dropout0.5, 训练损失: 0.0022, 测试损失: 0.0057, 测试准确率: 0.8822\n",
      "Epoch [24/30], 模型: dropout0.5, 训练损失: 0.0021, 测试损失: 0.0058, 测试准确率: 0.8785\n",
      "Epoch [25/30], 模型: dropout0.5, 训练损失: 0.0021, 测试损失: 0.0060, 测试准确率: 0.8807\n",
      "Epoch [26/30], 模型: dropout0.5, 训练损失: 0.0020, 测试损失: 0.0058, 测试准确率: 0.8812\n",
      "Epoch [27/30], 模型: dropout0.5, 训练损失: 0.0020, 测试损失: 0.0061, 测试准确率: 0.8758\n",
      "Epoch [28/30], 模型: dropout0.5, 训练损失: 0.0019, 测试损失: 0.0060, 测试准确率: 0.8795\n",
      "Epoch [29/30], 模型: dropout0.5, 训练损失: 0.0019, 测试损失: 0.0057, 测试准确率: 0.8866\n",
      "Epoch [30/30], 模型: dropout0.5, 训练损失: 0.0018, 测试损失: 0.0059, 测试准确率: 0.8808\n",
      "Epoch [1/30], 模型: dropout0.7, 训练损失: 0.0123, 测试损失: 0.0158, 测试准确率: 0.6741\n",
      "Epoch [2/30], 模型: dropout0.7, 训练损失: 0.0062, 测试损失: 0.0151, 测试准确率: 0.7003\n",
      "Epoch [3/30], 模型: dropout0.7, 训练损失: 0.0053, 测试损失: 0.0153, 测试准确率: 0.7050\n",
      "Epoch [4/30], 模型: dropout0.7, 训练损失: 0.0048, 测试损失: 0.0151, 测试准确率: 0.7061\n",
      "Epoch [5/30], 模型: dropout0.7, 训练损失: 0.0045, 测试损失: 0.0153, 测试准确率: 0.7137\n",
      "Epoch [6/30], 模型: dropout0.7, 训练损失: 0.0042, 测试损失: 0.0146, 测试准确率: 0.7212\n",
      "Epoch [7/30], 模型: dropout0.7, 训练损失: 0.0040, 测试损失: 0.0149, 测试准确率: 0.7226\n",
      "Epoch [8/30], 模型: dropout0.7, 训练损失: 0.0038, 测试损失: 0.0148, 测试准确率: 0.7190\n",
      "Epoch [9/30], 模型: dropout0.7, 训练损失: 0.0036, 测试损失: 0.0146, 测试准确率: 0.7269\n",
      "Epoch [10/30], 模型: dropout0.7, 训练损失: 0.0035, 测试损失: 0.0142, 测试准确率: 0.7291\n",
      "Epoch [11/30], 模型: dropout0.7, 训练损失: 0.0033, 测试损失: 0.0148, 测试准确率: 0.7252\n",
      "Epoch [12/30], 模型: dropout0.7, 训练损失: 0.0032, 测试损失: 0.0145, 测试准确率: 0.7316\n",
      "Epoch [13/30], 模型: dropout0.7, 训练损失: 0.0031, 测试损失: 0.0141, 测试准确率: 0.7388\n",
      "Epoch [14/30], 模型: dropout0.7, 训练损失: 0.0029, 测试损失: 0.0144, 测试准确率: 0.7305\n",
      "Epoch [15/30], 模型: dropout0.7, 训练损失: 0.0028, 测试损失: 0.0141, 测试准确率: 0.7329\n",
      "Epoch [16/30], 模型: dropout0.7, 训练损失: 0.0027, 测试损失: 0.0143, 测试准确率: 0.7412\n",
      "Epoch [17/30], 模型: dropout0.7, 训练损失: 0.0027, 测试损失: 0.0139, 测试准确率: 0.7385\n",
      "Epoch [18/30], 模型: dropout0.7, 训练损失: 0.0026, 测试损失: 0.0139, 测试准确率: 0.7349\n",
      "Epoch [19/30], 模型: dropout0.7, 训练损失: 0.0025, 测试损失: 0.0140, 测试准确率: 0.7416\n",
      "Epoch [20/30], 模型: dropout0.7, 训练损失: 0.0024, 测试损失: 0.0142, 测试准确率: 0.7400\n",
      "Epoch [21/30], 模型: dropout0.7, 训练损失: 0.0023, 测试损失: 0.0144, 测试准确率: 0.7332\n",
      "Epoch [22/30], 模型: dropout0.7, 训练损失: 0.0023, 测试损失: 0.0141, 测试准确率: 0.7357\n",
      "Epoch [23/30], 模型: dropout0.7, 训练损失: 0.0022, 测试损失: 0.0141, 测试准确率: 0.7415\n",
      "Epoch [24/30], 模型: dropout0.7, 训练损失: 0.0022, 测试损失: 0.0148, 测试准确率: 0.7313\n",
      "Epoch [25/30], 模型: dropout0.7, 训练损失: 0.0021, 测试损失: 0.0145, 测试准确率: 0.7371\n",
      "Epoch [26/30], 模型: dropout0.7, 训练损失: 0.0020, 测试损失: 0.0148, 测试准确率: 0.7310\n",
      "Epoch [27/30], 模型: dropout0.7, 训练损失: 0.0020, 测试损失: 0.0147, 测试准确率: 0.7360\n",
      "Epoch [28/30], 模型: dropout0.7, 训练损失: 0.0019, 测试损失: 0.0149, 测试准确率: 0.7323\n",
      "Epoch [29/30], 模型: dropout0.7, 训练损失: 0.0019, 测试损失: 0.0148, 测试准确率: 0.7310\n",
      "Epoch [30/30], 模型: dropout0.7, 训练损失: 0.0018, 测试损失: 0.0148, 测试准确率: 0.7367\n",
      "Epoch [1/30], 模型: dropout0.8, 训练损失: 0.0126, 测试损失: 0.0212, 测试准确率: 0.5789\n",
      "Epoch [2/30], 模型: dropout0.8, 训练损失: 0.0062, 测试损失: 0.0212, 测试准确率: 0.6093\n",
      "Epoch [3/30], 模型: dropout0.8, 训练损失: 0.0053, 测试损失: 0.0210, 测试准确率: 0.6281\n",
      "Epoch [4/30], 模型: dropout0.8, 训练损失: 0.0048, 测试损失: 0.0207, 测试准确率: 0.6391\n",
      "Epoch [5/30], 模型: dropout0.8, 训练损失: 0.0044, 测试损失: 0.0211, 测试准确率: 0.6346\n",
      "Epoch [6/30], 模型: dropout0.8, 训练损失: 0.0041, 测试损失: 0.0211, 测试准确率: 0.6323\n",
      "Epoch [7/30], 模型: dropout0.8, 训练损失: 0.0039, 测试损失: 0.0206, 测试准确率: 0.6389\n",
      "Epoch [8/30], 模型: dropout0.8, 训练损失: 0.0037, 测试损失: 0.0207, 测试准确率: 0.6441\n",
      "Epoch [9/30], 模型: dropout0.8, 训练损失: 0.0035, 测试损失: 0.0211, 测试准确率: 0.6387\n",
      "Epoch [10/30], 模型: dropout0.8, 训练损失: 0.0034, 测试损失: 0.0208, 测试准确率: 0.6428\n",
      "Epoch [11/30], 模型: dropout0.8, 训练损失: 0.0032, 测试损失: 0.0207, 测试准确率: 0.6518\n",
      "Epoch [12/30], 模型: dropout0.8, 训练损失: 0.0031, 测试损失: 0.0208, 测试准确率: 0.6518\n",
      "Epoch [13/30], 模型: dropout0.8, 训练损失: 0.0030, 测试损失: 0.0211, 测试准确率: 0.6461\n",
      "Epoch [14/30], 模型: dropout0.8, 训练损失: 0.0029, 测试损失: 0.0214, 测试准确率: 0.6478\n",
      "Epoch [15/30], 模型: dropout0.8, 训练损失: 0.0028, 测试损失: 0.0214, 测试准确率: 0.6484\n",
      "Epoch [16/30], 模型: dropout0.8, 训练损失: 0.0027, 测试损失: 0.0207, 测试准确率: 0.6494\n",
      "Epoch [17/30], 模型: dropout0.8, 训练损失: 0.0026, 测试损失: 0.0212, 测试准确率: 0.6490\n",
      "Epoch [18/30], 模型: dropout0.8, 训练损失: 0.0025, 测试损失: 0.0222, 测试准确率: 0.6396\n",
      "Epoch [19/30], 模型: dropout0.8, 训练损失: 0.0024, 测试损失: 0.0220, 测试准确率: 0.6507\n",
      "Epoch [20/30], 模型: dropout0.8, 训练损失: 0.0024, 测试损失: 0.0222, 测试准确率: 0.6382\n",
      "Epoch [21/30], 模型: dropout0.8, 训练损失: 0.0023, 测试损失: 0.0228, 测试准确率: 0.6354\n",
      "Epoch [22/30], 模型: dropout0.8, 训练损失: 0.0022, 测试损失: 0.0231, 测试准确率: 0.6287\n",
      "Epoch [23/30], 模型: dropout0.8, 训练损失: 0.0022, 测试损失: 0.0228, 测试准确率: 0.6351\n",
      "Epoch [24/30], 模型: dropout0.8, 训练损失: 0.0021, 测试损失: 0.0226, 测试准确率: 0.6373\n",
      "Epoch [25/30], 模型: dropout0.8, 训练损失: 0.0021, 测试损失: 0.0236, 测试准确率: 0.6329\n",
      "Epoch [26/30], 模型: dropout0.8, 训练损失: 0.0020, 测试损失: 0.0233, 测试准确率: 0.6320\n",
      "Epoch [27/30], 模型: dropout0.8, 训练损失: 0.0020, 测试损失: 0.0243, 测试准确率: 0.6258\n",
      "Epoch [28/30], 模型: dropout0.8, 训练损失: 0.0019, 测试损失: 0.0241, 测试准确率: 0.6277\n",
      "Epoch [29/30], 模型: dropout0.8, 训练损失: 0.0019, 测试损失: 0.0253, 测试准确率: 0.6258\n",
      "Epoch [30/30], 模型: dropout0.8, 训练损失: 0.0018, 测试损失: 0.0251, 测试准确率: 0.6194\n",
      "Epoch [1/30], 模型: dropout0.9, 训练损失: 0.0125, 测试损失: 0.0409, 测试准确率: 0.4053\n",
      "Epoch [2/30], 模型: dropout0.9, 训练损失: 0.0063, 测试损失: 0.0442, 测试准确率: 0.4341\n",
      "Epoch [3/30], 模型: dropout0.9, 训练损失: 0.0054, 测试损失: 0.0464, 测试准确率: 0.4282\n",
      "Epoch [4/30], 模型: dropout0.9, 训练损失: 0.0049, 测试损失: 0.0482, 测试准确率: 0.4305\n",
      "Epoch [5/30], 模型: dropout0.9, 训练损失: 0.0046, 测试损失: 0.0486, 测试准确率: 0.4398\n",
      "Epoch [6/30], 模型: dropout0.9, 训练损失: 0.0043, 测试损失: 0.0492, 测试准确率: 0.4374\n",
      "Epoch [7/30], 模型: dropout0.9, 训练损失: 0.0041, 测试损失: 0.0498, 测试准确率: 0.4472\n",
      "Epoch [8/30], 模型: dropout0.9, 训练损失: 0.0039, 测试损失: 0.0499, 测试准确率: 0.4428\n",
      "Epoch [9/30], 模型: dropout0.9, 训练损失: 0.0037, 测试损失: 0.0503, 测试准确率: 0.4405\n",
      "Epoch [10/30], 模型: dropout0.9, 训练损失: 0.0036, 测试损失: 0.0517, 测试准确率: 0.4384\n",
      "Epoch [11/30], 模型: dropout0.9, 训练损失: 0.0034, 测试损失: 0.0503, 测试准确率: 0.4521\n",
      "Epoch [12/30], 模型: dropout0.9, 训练损失: 0.0033, 测试损失: 0.0511, 测试准确率: 0.4503\n",
      "Epoch [13/30], 模型: dropout0.9, 训练损失: 0.0032, 测试损失: 0.0503, 测试准确率: 0.4486\n",
      "Epoch [14/30], 模型: dropout0.9, 训练损失: 0.0031, 测试损失: 0.0534, 测试准确率: 0.4266\n",
      "Epoch [15/30], 模型: dropout0.9, 训练损失: 0.0030, 测试损失: 0.0523, 测试准确率: 0.4354\n",
      "Epoch [16/30], 模型: dropout0.9, 训练损失: 0.0029, 测试损失: 0.0515, 测试准确率: 0.4473\n",
      "Epoch [17/30], 模型: dropout0.9, 训练损失: 0.0028, 测试损失: 0.0517, 测试准确率: 0.4465\n",
      "Epoch [18/30], 模型: dropout0.9, 训练损失: 0.0027, 测试损失: 0.0520, 测试准确率: 0.4437\n",
      "Epoch [19/30], 模型: dropout0.9, 训练损失: 0.0026, 测试损失: 0.0528, 测试准确率: 0.4394\n",
      "Epoch [20/30], 模型: dropout0.9, 训练损失: 0.0025, 测试损失: 0.0541, 测试准确率: 0.4411\n",
      "Epoch [21/30], 模型: dropout0.9, 训练损失: 0.0025, 测试损失: 0.0536, 测试准确率: 0.4488\n",
      "Epoch [22/30], 模型: dropout0.9, 训练损失: 0.0024, 测试损失: 0.0541, 测试准确率: 0.4373\n",
      "Epoch [23/30], 模型: dropout0.9, 训练损失: 0.0023, 测试损失: 0.0554, 测试准确率: 0.4371\n",
      "Epoch [24/30], 模型: dropout0.9, 训练损失: 0.0023, 测试损失: 0.0546, 测试准确率: 0.4383\n",
      "Epoch [25/30], 模型: dropout0.9, 训练损失: 0.0022, 测试损失: 0.0558, 测试准确率: 0.4313\n",
      "Epoch [26/30], 模型: dropout0.9, 训练损失: 0.0022, 测试损失: 0.0558, 测试准确率: 0.4310\n",
      "Epoch [27/30], 模型: dropout0.9, 训练损失: 0.0021, 测试损失: 0.0541, 测试准确率: 0.4387\n",
      "Epoch [28/30], 模型: dropout0.9, 训练损失: 0.0021, 测试损失: 0.0563, 测试准确率: 0.4339\n",
      "Epoch [29/30], 模型: dropout0.9, 训练损失: 0.0020, 测试损失: 0.0581, 测试准确率: 0.4311\n",
      "Epoch [30/30], 模型: dropout0.9, 训练损失: 0.0020, 测试损失: 0.0571, 测试准确率: 0.4344\n"
     ]
    }
   ],
   "source": [
    "nets = {}\n",
    "for drop_prob in [0, 0.1, 0.3, 0.5, 0.7, 0.9]:\n",
    "    nets[f\"dropout{drop_prob}\"] = MinistForwardNet(drop_prob).to(device)\n",
    "\n",
    "loss_function = nn.CrossEntropyLoss()\n",
    "loss_history = {\n",
    "    \"Train Loss\": {},\n",
    "    \"Test Loss\": {},\n",
    "    \"Test Acc\": {},\n",
    "}\n",
    "num_epoch = 30\n",
    "\n",
    "for name in nets:\n",
    "    loss_history[\"Train Loss\"][name] = []\n",
    "    loss_history[\"Test Loss\"][name] = []\n",
    "    loss_history[\"Test Acc\"][name] = []\n",
    "    for epoch in range(30):\n",
    "        net = nets[name]\n",
    "        optimizer = torch.optim.SGD(net.parameters(), lr=0.01)\n",
    "        train_loss_epoch, item_cnt = 0, 0\n",
    "        for x, y in train_iter:\n",
    "            x, y = x.to(device), y.to(device)\n",
    "            x = x.view(-1, 28*28)\n",
    "\n",
    "            pred = net(x, is_training=True)\n",
    "            los = loss_function(pred, y)\n",
    "            los.backward()\n",
    "            optimizer.step()\n",
    "            optimizer.zero_grad()\n",
    "            train_loss_epoch += los.item()\n",
    "            item_cnt += y.shape[0]\n",
    "\n",
    "        train_loss_epoch /= item_cnt\n",
    "        loss_history[\"Train Loss\"][name].append(train_loss_epoch)\n",
    "        with torch.no_grad():\n",
    "            test_loss_epoch, test_acc_epoch, item_cnt = 0, 0, 0\n",
    "            for x, y in test_iter:\n",
    "                x, y = x.to(device), y.to(device)\n",
    "                x = x.view(-1, 28*28)\n",
    "                \n",
    "                pred = net(x, is_training=False)\n",
    "                los = loss_function(pred, y)\n",
    "                test_loss_epoch += los.item()\n",
    "                test_acc_epoch += (pred.argmax(dim=1).long() == y.long()).sum().item()\n",
    "                item_cnt += y.shape[0]\n",
    "\n",
    "        test_loss_epoch /= item_cnt\n",
    "        loss_history[\"Test Loss\"][name].append(test_loss_epoch)\n",
    "        test_acc_epoch /= item_cnt\n",
    "        loss_history[\"Test Acc\"][name].append(test_acc_epoch)\n",
    "        print(\n",
    "            f\"Epoch [{epoch + 1}/{num_epoch}], 模型: {name}, 训练损失: {train_loss_epoch:.4f}, 测试损失: {test_loss_epoch:.4f}, 测试准确率: {test_acc_epoch:.4f}\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_compare(loss_history)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "实验结果分析：根据训练集和测试集的损失值曲线，引入drouput机制能够增强模型的泛化能力，避免模型过拟合。不同Dropout率对损失函数曲线的影响也比较明显。较小的Dropout率（如0.2）可能会导致模型过拟合，因为模型的训练损失较低，但测试损失较高。较大的Dropout率（如0.8）可能会导致欠拟合，因为模型的训练损失较高，测试损失也相对较高。适当的Dropout率（如0.4）通常可以达到较好的训练效果。"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dl",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
